Choosing ONE AI Coding tool is a mistake. OpenAI's new Codex, sits at the opposite end of the AI Coding Spectrum from Anthropic's Claude Code.
Knowing the difference between the two is key to using as much compute as possible to ship your best engineering work.
🎥 VIDEO REFERENCES
Latent Space Claude Code Interview: • Claude Code: Anthropic's CLI Agent
PAIC - Master AI Coding: https://agenticengineer.com/principle...
Codex: https://openai.com/index/introducing-...
Claude Code: https://www.anthropic.com/claude-code
Claude Code is Programmable: https://github.com/disler/claude-code...
🔥 What’s Inside:
A live demo of Codex orchestrating parallel AI coding tasks
5 breakthrough insights from the Latent Space podcast with the Claude Code creators
Why terminal AI coding always wins over web-only IDEs
How composability and background tasks redefine agentic coding workflows
The power of simplicity-first engineering: ship small, prove value, then scale
💡 What You’ll Learn:
Why terminal-based tools deliver maximum control and performance
How Claude Code leverages compute to run background tasks and parallel agents
Key differences between Codex’s web app model and Claude’s CLI-native approach
Best practices for agentic coding, AI coding, and scaling your engineering output
How IndyDevDan uses these insights to build living software that works while you sleep
👍 Don’t miss out on the future of ai coding and agentic coding! Like, subscribe, and hit the bell to stay ahead of the curve with exclusive insights on Claude Code, Codex, OpenAI, Anthropic, and most importantly, maximizing your compute.
Stay focused and keep building! 💡⚡️
📖 Chapters
00:00 Claude Code and Codex
01:42 Codex First Look
06:22 Claude Code Creators
07:22 AI Coding Spectrum
10:10 Do the simple thing first
14:30 Product Managing and Leadership
16:45 Aider and Claude Code Relationship
19:50 Claude Costs And Intelligence
23:34 Codex Background Tasks
27:23 Future of engineering
32:00 Planning vs Prototyping
33:10 Parallel Compute
35:45 The Context Window Problem
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